Uber
Sr Machine Learning Engineer
$202K–$224K
Sunnyvale, California +1 · Senior · Full-time · Posted Oct 20, 2026
- Location
- Sunnyvale, California
San Francisco, California - Experience
- 5+ years of hands-on professional experience; preferred qualification also states PhD candidate with 3+ years of industry experience.
About the job
Leads the design, development, and production operation of machine learning systems that optimize merchant delivery zones and marketplace decisions.
What you'll do
- Design and refine ML models to optimize delivery coverage, conversion, order volume, and fulfillment efficiency.
- Build and operate scalable inference pipelines, feature stores, model-serving infrastructure, and automated retraining workflows.
- Lead marketplace analysis and online A/B testing, and coordinate technical work across teams.
What they ask for
- 5+ years of professional experience designing, training, and operating production ML models at scale.
- Advanced proficiency in Python and mainstream ML frameworks.
- Strong foundation in ML algorithms, including gradient-boosted trees, deep neural networks, and statistical modeling.
- Experience taking ML systems end to end and developing feature pipelines, using feature stores and monitoring platforms, and running production A/B tests.
Nice to have
- Experience with geospatial libraries, Graph Neural Networks, or deep-learning recommendation systems.
- Familiarity with distributed data processing systems and two-sided marketplace optimization.
Pay
USD $202,000 per year - USD $224,000 per year (base salary, San Francisco, CA); USD $202,000 per year - USD $224,000 per year (base salary, Sunnyvale, CA)
Tools
Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, H3, S2 Cell
AI focus
Develops and operates machine learning models and infrastructure to optimize merchant delivery coverage and marketplace decisions.
Model-written summary · the original posting is authoritative